Wu, Yifan

31 publications

AAAI 2025 Optimized Gradient Clipping for Noisy Label Learning Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin
ICCV 2025 SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script Generation Wenjia Wang, Liang Pan, Zhiyang Dou, Jidong Mei, Zhouyingcheng Liao, Yuke Lou, Yifan Wu, Lei Yang, Jingbo Wang, Taku Komura
ICML 2025 Towards Robust Influence Functions with Flat Validation Minima Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen
NeurIPS 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
NeurIPSW 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S Yao, Chris Callison-Burch, James Gee, Mark Yatskar
NeurIPS 2024 Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Fan Yang, Xian Zhang, Xiaoxing Ma
AAAI 2024 Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue
ECML-PKDD 2024 MMDL-Based Data Augmentation with Domain Knowledge for Time Series Classification Xiaosheng Li, Yifan Wu, Wei Jiang, Ying Li, Jianguo Li
NeurIPSW 2024 Unexploited Information Value in Human-AI Collaboration Ziyang Guo, Yifan Wu, Jason Hartline, Jessica Hullman
NeurIPSW 2024 Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu
NeurIPSW 2024 Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu
CVPRW 2023 Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-Task Learning in Computer Vision Tasks for Robotic Grasping on the Edge Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
ICML 2023 Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
COLT 2023 Optimal Scoring Rules for Multi-Dimensional Effort Jason D. Hartline, Liren Shan, Yingkai Li, Yifan Wu
IJCAI 2023 Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer Yifan Wu, Shichao Kan, Min Zeng, Min Li
CVPR 2022 NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, M. Ani Hsieh, James C. Gee
ICML 2021 Instabilities of Offline RL with Pre-Trained Neural Representation Ruosong Wang, Yifan Wu, Ruslan Salakhutdinov, Sham Kakade
NeurIPS 2021 Mixture Proportion Estimation and PU Learning:A Modern Approach Saurabh Garg, Yifan Wu, Alexander J Smola, Sivaraman Balakrishnan, Zachary Lipton
ICML 2021 On the Optimality of Batch Policy Optimization Algorithms Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvari, Dale Schuurmans
NeurIPS 2020 A Unified View of Label Shift Estimation Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary Lipton
ECCVW 2020 BTWD: Bag of Tricks for Wheat Detection Yifan Wu, Ya-Han Hu, Lei Li
WACV 2020 Enhanced Generative Adversarial Network for 3D Brain MRI Super-Resolution Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James Gee
WACV 2020 From Image to Video Face Inpainting: Spatial-Temporal Nested GAN (STN-GAN) for Usability Recovery Yifan Wu, Vivek Singh, Ankur Kapoor
ICML 2019 Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary Lipton
ICLRW 2019 Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary Lipton
NeurIPS 2019 Game Design for Eliciting Distinguishable Behavior Fan Yang, Liu Leqi, Yifan Wu, Zachary Lipton, Pradeep K Ravikumar, Tom M. Mitchell, William W. Cohen
ICLR 2019 The Laplacian in RL: Learning Representations with Efficient Approximations Yifan Wu, George Tucker, Ofir Nachum
AISTATS 2019 Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent Yifan Wu, Barnabas Poczos, Aarti Singh
ICML 2016 Conservative Bandits Yifan Wu, Roshan Shariff, Tor Lattimore, Csaba Szepesvari
ICML 2015 On Identifying Good Options Under Combinatorially Structured Feedback in Finite Noisy Environments Yifan Wu, Andras Gyorgy, Csaba Szepesvari
NeurIPS 2015 Online Learning with Gaussian Payoffs and Side Observations Yifan Wu, András György, Csaba Szepesvari